最大化从给定数组生成的成对产品的总和

给定三个长度分别为N1 、 N2和N3 的数组arr1[]、arr2[]和arr3[] ，任务是通过将来自不同数组的对的乘积相加来找到可能的最大和。

注意：每个数组元素都可以是一对的一部分。

例子：

Input: arr1[] = {3, 5}, arr2[] = {2, 1}, arr3[] = {4, 3, 5}
Output : 43
Explanation
After sorting the arrays in descending order, following modifications are obtained: arr1[] = {5, 3}, arr2[] = {2, 1}, arr3[] = {5, 4, 3}. 
Therefore, maximized product = (arr1[0] * arr3[0]) + (arr1[1] * arr3[1]) + (arr2[0] * arr3[2]) = (5*5 + 3*4 + 2*3) = 43

Input: arr1[] = {3, 5, 9, 8, 7}, arr2[] = {6}, arr3[] = {3, 5}
Output : 115
Explanation
Sort the arrays in descending order, the following modifications are obtained: arr1[] = {9, 8, 7, 5, 3}, arr2[] = {6}, arr3[] = {5, 3}. 
Therefore, maximized product = (arr1[0] * arr2[0]) + (arr1[1] * arr3[0]) + (arr1[2] * arr3[1]) = (9*6 + 8*5 + 7*3) = 155

方法：可以使用 3D Memoization 表来解决给定的问题，以存储所有可能对组合的最大总和。假设 i, j, k 分别是从数组 arr1[], arr2[] 和 arr3[] 中取出的元素个数组成对，那么记忆表 dp[][][] 将存储最大可能的乘积和由 dp[i][j][k] 中的元素组合生成。
请按照以下步骤解决问题-

• 按降序对给定数组进行排序。
• 初始化 dp 表dp[][][] ，其中dp[i][j][k]存储通过从第一个数组中取i 个最大数、从第二个数组中取j 个最大数和k 个最大数获得的最大和从第三个数组。
• 对于每个I，J，和分别从ķ三个阵列^th元素，检查所有可能的对，并通过考虑每对计算最大总和可能和memoize的用于进一步计算获得的最大总和。
• 最后，打印dp[][][]矩阵返回的最大可能总和。

下面是上述方法的实现：

C++

// C++ Program to implement
// the above approach
#include 
using namespace std;
 
#define maxN 201
 
// Variables which represent
// the size of the array
int n1, n2, n3;
 
// Stores the results
int dp[maxN][maxN][maxN];
 
// Function to return the
// maximum possible sum
int getMaxSum(int i, int j,
              int k, int arr1[],
              int arr2[], int arr3[])
{
    // Stores the count of
    // arrays processed
    int cnt = 0;
 
    if (i >= n1)
        cnt++;
 
    if (j >= n2)
        cnt++;
 
    if (k >= n3)
        cnt++;
 
    // If more than two arrays
    // have been processed
    if (cnt >= 2)
        return 0;
 
    // If an already computed
    // subproblem occurred
    if (dp[i][j][k] != -1)
        return dp[i][j][k];
 
    int ans = 0;
 
    // Explore all the possible pairs
    if (i < n1 && j < n2)
 
        // Recursive function call
        ans = max(ans,
                  getMaxSum(i + 1, j + 1, k,
                            arr1, arr2, arr3)
                      + arr1[i] * arr2[j]);
 
    if (i < n1 && k < n3)
        ans = max(ans,
                  getMaxSum(i + 1, j, k + 1,
                            arr1, arr2, arr3)
                      + arr1[i] * arr3[k]);
 
    if (j < n2 && k < n3)
        ans = max(ans,
                  getMaxSum(i, j + 1, k + 1,
                            arr1, arr2, arr3)
                      + arr2[j] * arr3[k]);
 
    // Memoize the maximum
    dp[i][j][k] = ans;
 
    // Returning the value
    return dp[i][j][k];
}
 
// Function to return the maximum sum of
// products of pairs possible
int maxProductSum(int arr1[], int arr2[],
                  int arr3[])
{
    // Initialising the dp array to -1
    memset(dp, -1, sizeof(dp));
 
    // Sort the arrays in descending order
    sort(arr1, arr1 + n1);
    reverse(arr1, arr1 + n1);
 
    sort(arr2, arr2 + n2);
    reverse(arr2, arr2 + n2);
 
    sort(arr3, arr3 + n3);
    reverse(arr3, arr3 + n3);
 
    return getMaxSum(0, 0, 0,
                     arr1, arr2, arr3);
}
 
// Driver Code
int main()
{
    n1 = 2;
    int arr1[] = { 3, 5 };
 
    n2 = 2;
    int arr2[] = { 2, 1 };
 
    n3 = 3;
    int arr3[] = { 4, 3, 5 };
 
    cout << maxProductSum(arr1, arr2, arr3);
 
    return 0;
}

Java

// Java program for above approach
import java.util.*;
import java.lang.*;
 
class GFG{
 
static final int maxN = 201;
 
// Variables which represent
// the size of the array
static int n1, n2, n3;
 
// Stores the results
static int[][][] dp = new int[maxN][maxN][maxN];
 
// Function to return the
// maximum possible sum
static int getMaxSum(int i, int j,
                     int k, int arr1[],
                     int arr2[], int arr3[])
{
     
    // Stores the count of
    // arrays processed
    int cnt = 0;
 
    if (i >= n1)
        cnt++;
 
    if (j >= n2)
        cnt++;
 
    if (k >= n3)
        cnt++;
 
    // If more than two arrays
    // have been processed
    if (cnt >= 2)
        return 0;
 
    // If an already computed
    // subproblem occurred
    if (dp[i][j][k] != -1)
        return dp[i][j][k];
 
    int ans = 0;
 
    // Explore all the possible pairs
    if (i < n1 && j < n2)
 
        // Recursive function call
        ans = Math.max(ans,
                       getMaxSum(i + 1, j + 1, k,
                                arr1, arr2, arr3) +
                                arr1[i] * arr2[j]);
 
    if (i < n1 && k < n3)
        ans = Math.max(ans,
                       getMaxSum(i + 1, j, k + 1,
                                 arr1, arr2, arr3) +
                                 arr1[i] * arr3[k]);
 
    if (j < n2 && k < n3)
        ans = Math.max(ans,
                       getMaxSum(i, j + 1, k + 1,
                                 arr1, arr2, arr3) +
                                 arr2[j] * arr3[k]);
 
    // Memoize the maximum
    dp[i][j][k] = ans;
 
    // Returning the value
    return dp[i][j][k];
}
 
static void reverse(int[] tmp)
{
    int i, k, t;
    int n = tmp.length;
     
        for(i = 0; i < n/ 2; i++)
        {
            t = tmp[i];
            tmp[i] = tmp[n - i - 1];
            tmp[n - i - 1] = t;
        }
}
 
// Function to return the maximum sum of
// products of pairs possible
static int maxProductSum(int arr1[], int arr2[],
                         int arr3[])
{
     
    // Initialising the dp array to -1
    for(int i = 0; i < dp.length; i++)
        for(int j = 0; j < dp[0].length; j++)
            for(int k = 0; k < dp[j][0].length; k++)
                dp[i][j][k] = -1;
 
    // Sort the arrays in descending order
    Arrays.sort(arr1);
    reverse(arr1);
     
    Arrays.sort(arr2);
    reverse(arr2);
     
    Arrays.sort(arr3);
    reverse(arr3);
     
    return getMaxSum(0, 0, 0,
                     arr1, arr2, arr3);
}
 
// Driver Code
public static void main (String[] args)
{
    n1 = 2;
    int arr1[] = { 3, 5 };
     
    n2 = 2;
    int arr2[] = { 2, 1 };
     
    n3 = 3;
    int arr3[] = { 4, 3, 5 };
     
    System.out.println(maxProductSum(arr1, arr2, arr3));
}
}
 
// This code is contributed by offbeat

Python3

# Python3 program for
# the above approach
maxN = 201;
 
# Variables which represent
# the size of the array
n1, n2, n3 = 0, 0, 0;
 
# Stores the results
dp = [[[0 for i in range(maxN)]
          for j in range(maxN)]
          for j in range(maxN)];
 
# Function to return the
# maximum possible sum
def getMaxSum(i, j, k,
              arr1, arr2, arr3):
   
    # Stores the count of
    # arrays processed
    cnt = 0;
 
    if (i >= n1):
        cnt += 1;
 
    if (j >= n2):
        cnt += 1;
 
    if (k >= n3):
        cnt += 1;
 
    # If more than two arrays
    # have been processed
    if (cnt >= 2):
        return 0;
 
    # If an already computed
    # subproblem occurred
    if (dp[i][j][k] != -1):
        return dp[i][j][k];
 
    ans = 0;
 
    # Explore all the possible pairs
    if (i < n1 and j < n2):
 
        # Recursive function call
        ans = max(ans, getMaxSum(i + 1, j + 1,
                                 k, arr1,
                                 arr2, arr3) +
                       arr1[i] * arr2[j]);
 
    if (i < n1 and k < n3):
        ans = max(ans, getMaxSum(i + 1, j,
                                 k + 1, arr1,
                                 arr2, arr3) +
                       arr1[i] * arr3[k]);
 
    if (j < n2 and k < n3):
        ans = max(ans, getMaxSum(i, j + 1,
                                 k + 1, arr1,
                                 arr2, arr3) +
                       arr2[j] * arr3[k]);
 
    # Memoize the maximum
    dp[i][j][k] = ans;
 
    # Returning the value
    return dp[i][j][k];
 
 
def reverse(tmp):
    i, k, t = 0, 0, 0;
    n = len(tmp);
 
    for i in range(n // 2):
        t = tmp[i];
        tmp[i] = tmp[n - i - 1];
        tmp[n - i - 1] = t;
 
# Function to return the maximum sum of
# products of pairs possible
def maxProductSum(arr1, arr2, arr3):
    # Initialising the dp array to -1
    for i in range(len(dp)):
        for j in range(len(dp[0])):
            for k in range(len(dp[j][0])):
                dp[i][j][k] = -1;
 
    # Sort the arrays in descending order
    arr1.sort();
    reverse(arr1);
 
    arr2.sort();
    reverse(arr2);
 
    arr3.sort();
    reverse(arr3);
 
    return getMaxSum(0, 0, 0,
                     arr1, arr2, arr3);
 
# Driver Code
if __name__ == '__main__':
  n1 = 2;
  arr1 = [3, 5];
 
  n2 = 2;
  arr2 = [2, 1];
 
  n3 = 3;
  arr3 = [4, 3, 5];
 
  print(maxProductSum(arr1, arr2, arr3));
 
# This code is contributed by Rajput-Ji

C#

// C# program for above approach
using System;
 
class GFG{
 
const int maxN = 201;
 
// Variables which represent
// the size of the array
static int n1, n2, n3;
 
// Stores the results
static int[,,] dp = new int[maxN, maxN, maxN];
 
// Function to return the
// maximum possible sum
static int getMaxSum(int i, int j,
                     int k, int []arr1,
                     int []arr2, int []arr3)
{
     
    // Stores the count of
    // arrays processed
    int cnt = 0;
 
    if (i >= n1)
        cnt++;
 
    if (j >= n2)
        cnt++;
 
    if (k >= n3)
        cnt++;
 
    // If more than two arrays
    // have been processed
    if (cnt >= 2)
        return 0;
 
    // If an already computed
    // subproblem occurred
    if (dp[i, j, k] != -1)
        return dp[i, j, k];
 
    int ans = 0;
 
    // Explore all the possible pairs
    if (i < n1 && j < n2)
 
        // Recursive function call
        ans = Math.Max(ans,
                       getMaxSum(i + 1, j + 1, k,
                                 arr1, arr2, arr3) +
                                 arr1[i] * arr2[j]);
 
    if (i < n1 && k < n3)
        ans = Math.Max(ans,
                       getMaxSum(i + 1, j, k + 1,
                                 arr1, arr2, arr3) +
                                 arr1[i] * arr3[k]);
 
    if (j < n2 && k < n3)
        ans = Math.Max(ans,
                       getMaxSum(i, j + 1, k + 1,
                                 arr1, arr2, arr3) +
                                 arr2[j] * arr3[k]);
     
    // Memoize the maximum
    dp[i, j, k] = ans;
 
    // Returning the value
    return dp[i, j, k];
}
 
static void reverse(int[] tmp)
{
    int i, t;
    int n = tmp.Length;
 
    for(i = 0; i < n / 2; i++)
    {
        t = tmp[i];
        tmp[i] = tmp[n - i - 1];
        tmp[n - i - 1] = t;
    }
}
 
// Function to return the maximum sum of
// products of pairs possible
static int maxProductSum(int []arr1, int []arr2,
                         int []arr3)
{
     
    // Initialising the dp array to -1
    for(int i = 0; i < maxN; i++)
        for(int j = 0; j < maxN; j++)
            for(int k = 0; k < maxN; k++)
                dp[i, j, k] = -1;
 
    // Sort the arrays in descending order
    Array.Sort(arr1);
    reverse(arr1);
     
    Array.Sort(arr2);
    reverse(arr2);
     
    Array.Sort(arr3);
    reverse(arr3);
     
    return getMaxSum(0, 0, 0,
                     arr1, arr2, arr3);
}
 
// Driver Code
public static void Main (string[] args)
{
    n1 = 2;
    int []arr1 = { 3, 5 };
     
    n2 = 2;
    int []arr2 = { 2, 1 };
     
    n3 = 3;
    int []arr3 = { 4, 3, 5 };
     
    Console.Write(maxProductSum(arr1, arr2, arr3));
}
}
 
// This code is contributed by rutvik_56

输出：

43

时间复杂度： O((N1 * N2 * N3))
辅助空间： O(N1 * N2 * N3)

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